id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-345724-6u9q0ox9	Zhu, Xiaolin	Spatially Explicit Modeling of 2019-nCoV Epidemic Trend based on Mobile Phone Data in Mainland China	2020-02-11		.txt	text/plain	3829	183	52	The aim of this study is to model the current dynamics of 2019-nCoV at city level and predict the trend in the next 30 days under three possible scenarios in mainland China. We used the trained model to predict the future dynamics up to March 12, 2020 under different scenarios: the current trend maintained, control efforts expanded, and person-to-person contact increased due to work resuming. Although these studies at the early stage of outbreak help us understand the key epidemiological characteristics of 2019-nCoV, the fine-scale and updated epidemic trend in individual Chinese cities remains unknown, which is more helpful for allocating medical resources to achieve the optimal result of preventing disease spreading. We predicted daily infected cases of each city up to March 12, 2020 under three different scenarios (scenario 1 -the current trend maintained; scenario 2 -control efforts expanded; and scenario 3 -person-to-person contacts increased due to work resuming).	./cache/cord-345724-6u9q0ox9.txt	./txt/cord-345724-6u9q0ox9.txt